Hemani, Gibran

The MR-Base platform supports systematic causal inference across the human phenome

Hemani, G., Zheng, J., Elsworth, B., Wade, K. H., Haberland, V., Baird, D., Laurin, C., Burgess, S., Bowden, J., Langdon, R., et al. (2018) · eLife

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 7,959

Mendelian randomization: genetic anchors for causal inference in epidemiological studies

Davey Smith, G., & Hemani, G. (2014) · Human Molecular Genetics

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 4,677

Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis

Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Kasela, S., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 2,607

Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Yazar, S., et al. (2021) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 2,607

Orienting the causal relationship between imprecisely measured traits using GWAS summary data.

Hemani, G., Tilling, K., & Davey Smith, G. (2017) · PLoS Genetics

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 2,607

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

Howard, D. M., Adams, M. J., Clarke, T.-K., Hafferty, J. D., Gibson, J., Shirali, M., Coleman, J. R. I., Hagenaars, S. P., Ward, J., Wigmore, E. M., et al. (2019) · Nature Neuroscience

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 2,565

Defining the role of common variation in the genomic and biological architecture of adult human height

The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 1,853

Evaluating the potential role of pleiotropy in Mendelian randomization studies

Hemani, G., Bowden, J., & Davey Smith, G. (2018) · Human Molecular Genetics

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,496

LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis

Zheng, J., Erzurumluoglu, A. M., Elsworth, B. L., Kemp, J. P., Howe, L., Haycock, P. C., Hemani, G., Tansey, K., Laurin, C., Early Genetics and Lifecourse Epidemiology (EAGLE) Eczema Consortium, et al. (2017) · Bioinformatics

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 869

Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique.

Hartwig, F. P., Davies, N. M., Hemani, G., & Davey Smith, G. (2016) · International Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 860

Collider bias undermines our understanding of COVID-19 disease risk and severity

Griffith, G. J., Morris, T. T., Tudball, M. J., Herbert, A., Mancano, G., Pike, L., Sharp, G. C., Sterne, J., Palmer, T. M., Davey Smith, G., et al. (2020) · Nature Communications

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 826

Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases.

Zheng, J., Haberland, V., Baird, D., Walker, V., Haycock, P., Hurle, M., Gutteridge, A., Erola, P., Liu, Y., Luo, S., et al. (2019) · Nature Genetics

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 812

Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index

Study, T. L. C., Yang, J., Bakshi, A., Zhu, Z., Hemani, G., Vinkhuyzen, A. A. E., Lee, S. H., Robinson, M. R., Perry, J. R. B., Nolte, I. M., et al. (2015) · Nature Genetics

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 745

Systematic identification of genetic influences on methylation across the human life course

Gaunt, T. R., Shihab, H. A., Hemani, G., Min, J. L., Woodward, G., Lyttleton, O., Zheng, J., Duggirala, A., McArdle, W. L., Ho, K., et al. (2016) · Genome Biology

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 598

Evidence for causal effects of lifetime smoking on risk for depression and schizophrenia: a Mendelian randomisation study

Wootton, R. E., Richmond, R. C., Stuijfzand, B. G., Lawn, R. B., Sallis, H. M., Taylor, G. M. J., Hemani, G., Jones, H. J., Zammit, S., Davey Smith, G., et al. (2020) · Psychological Medicine

Smoking Behavior and CessationGenetic Associations and Epidemiology

Cited by 587

Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation

Min, J. L., Hemani, G., Hannon, E., Dekkers, K. F., Castillo-Fernandez, J., Luijk, R., Carnero-Montoro, E., Lawson, D. J., Burrows, K., Suderman, M., et al. (2021) · Nature Genetics

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 506

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

Qi, T., Wu, Y., Zeng, J., Zhang, F., Xue, A., Jiang, L., Zhu, Z., Kemper, K., Yengo, L., Zheng, Z., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 427

Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits.

Porcu, E., Rüeger, S., Lepik, K., eQTLGen Consortium, Agbessi, M., Ahsan, H., Alves, I., Andiappan, A., Arindrarto, W., Awadalla, P., et al. (2019) · Nature Communications

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 322

Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis

Haworth, S., Mitchell, R., Corbin, L., Wade, K. H., Dudding, T., Budu-Aggrey, A., Carslake, D., Hemani, G., Paternoster, L., Smith, G. D., et al. (2019) · Nature Communications

Genetic Associations and EpidemiologyRace, Genetics, and Society

Cited by 314

Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization-A Job for the Humble Heterogeneity Statistic?

Bowden, J., Hemani, G., & Davey Smith, G. (2018) · American Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 251

Prenatal and early life influences on epigenetic age in children: A study of mother–offspring pairs from two cohort studies

Simpkin, A. J., Hemani, G., Suderman, M., Gaunt, T. R., Lyttleton, O., Mcardle, W. L., Ring, S. M., Sharp, G. C., Tilling, K., Horvath, S., et al. (2016) · Human Molecular Genetics

Epigenetics and DNA MethylationBirth, Development, and Health

Cited by 246

Dominance Genetic Variation Contributes Little to the Missing Heritability for Human Complex Traits

Zhu, Z., Bakshi, A., Vinkhuyzen, A. A. E., Hemani, G., Lee, S. H., Nolte, I. M., van Vliet-Ostaptchouk, J. V., Snieder, H., Esko, T., Milani, L., et al. (2015) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 224

Telomere Length and Risk of Cancer and Non-neoplastic Diseases: Is Survivin the Ariadne's Thread?—Reply

Haycock, P. C., Hemani, G., & Aviv, A. (2017) · JAMA Oncology

Telomeres, Telomerase, and SenescenceGenetic Associations and Epidemiology

Cited by 209

An atlas of polygenic risk score associations to highlight putative causal relationships across the human phenome

Richardson, T. G., Harrison, S., Hemani, G., & Davey Smith, G. (2019) · eLife

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 198